[GitHub] [incubator-hudi] lamber-ken edited a comment on issue #1034: Datasource Writer throws error on resolving struct fields

[GitBox <gi...@apache.org>]

lamber-ken edited a comment on issue #1034: Datasource Writer throws error on resolving struct fields
URL: https://github.com/apache/incubator-hudi/issues/1034#issuecomment-556906589
 
 
   hi, @alphairys, according to your describion, I can not get the error. My steps are bellow.
   ```
   export SPARK_HOME=/work/BigData/install/spark/spark-2.3.3-bin-hadoop2.6
   ${SPARK_HOME}/bin/spark-shell --packages org.apache.hudi:hudi-spark-bundle:0.5.0-incubating --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'
   
   import org.apache.hudi.QuickstartUtils._
   import scala.collection.JavaConversions._
   import org.apache.spark.sql.SaveMode._
   import org.apache.hudi.DataSourceReadOptions._
   import org.apache.hudi.DataSourceWriteOptions._
   import org.apache.hudi.config.HoodieWriteConfig._
   
   val tableName = "tmp"
   val basePath = "file:///tmp/tmp"
   
   var datas = List("{ \"deviceId\": \"aaaaa\", \"eventTimeMilli\": 1574297893836, \"location\": { \"latitude\": 2.5, \"longitude\": 3.5 }}");
   val df = spark.read.json(spark.sparkContext.parallelize(datas, 2))
   df.write.format("org.apache.hudi").
       option(RECORDKEY_FIELD_OPT_KEY, "deviceId").
       option(PRECOMBINE_FIELD_OPT_KEY, "eventTimeMilli").
       option(TABLE_NAME, tableName).
       option(PARTITIONPATH_FIELD_OPT_KEY, "deviceId").
       mode(Append).
       save(basePath);
   ```

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